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Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation

Conference Paper


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Abstract


  • In this paper, a multi-stage through - The-wall radar imaging technique combining wall clutter mitigation and scene reconstruction is proposed. In the first stage, compressed sensing is applied to compressive measurements to recover the radar signals in the wavelet domain. Then, a subspace projection method is employed to remove the wavelet coefficients associated with the exterior wall reflections. In the second stage, the remaining wavelet coefficients are further compressed using principal component analysis. A compact linear measurement model is then formulated which relates the compressed wavelet coefficients to the image of the scene. Finally, the image reconstruction problem is solved in a more efficient compressed sensing framework, using the compact linear measurement model. Experiment results obtained from real data prove that the proposed method is more efficient and achieves better performance, in terms of target-to-clutter ratio, than direct compressed sensing signal recovery method and delay-and-sum beamforming. © 2014 IEEE.

Publication Date


  • 2014

Citation


  • F. Hing Chi. Tivive, A. Bouzerdoum & V. Ha. Tang, "Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation," in 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014, pp. 489-492.

Scopus Eid


  • 2-s2.0-84907413119

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4525&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3508

Has Global Citation Frequency


Start Page


  • 489

End Page


  • 492

Place Of Publication


  • United States

Abstract


  • In this paper, a multi-stage through - The-wall radar imaging technique combining wall clutter mitigation and scene reconstruction is proposed. In the first stage, compressed sensing is applied to compressive measurements to recover the radar signals in the wavelet domain. Then, a subspace projection method is employed to remove the wavelet coefficients associated with the exterior wall reflections. In the second stage, the remaining wavelet coefficients are further compressed using principal component analysis. A compact linear measurement model is then formulated which relates the compressed wavelet coefficients to the image of the scene. Finally, the image reconstruction problem is solved in a more efficient compressed sensing framework, using the compact linear measurement model. Experiment results obtained from real data prove that the proposed method is more efficient and achieves better performance, in terms of target-to-clutter ratio, than direct compressed sensing signal recovery method and delay-and-sum beamforming. © 2014 IEEE.

Publication Date


  • 2014

Citation


  • F. Hing Chi. Tivive, A. Bouzerdoum & V. Ha. Tang, "Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation," in 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014, pp. 489-492.

Scopus Eid


  • 2-s2.0-84907413119

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4525&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3508

Has Global Citation Frequency


Start Page


  • 489

End Page


  • 492

Place Of Publication


  • United States